| 一种改进的关联规则增量更新算法 |
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| 引用本文： | 孙新,宋中山.一种改进的关联规则增量更新算法[J].中国西部科技,2010,9(13):28-29,49. |
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| 作者姓名： | 孙新 宋中山 |
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| 作者单位： | 中南民族大学计算机科学学院,湖北武汉,430074 |
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| 摘 要： | 数据挖掘技术引起了数据库和人工智能等领域的专家和学者的广泛关注。关联规则的挖掘是数据挖掘研究的一个重要领域,本文分析了经典的增量更新算法FUP的不足,提出了一种改进的增量更新算法EFUP,详细论述算法思想,并与FUP算法比较分析,表明了该算法的优越性。
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| 关 键 词： | 数据挖掘 关联规则 增量更新 |
Improved Incremental Updating Algorithm for Association Rules |
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| SUN Xin,SONG Zhong-shan.Improved Incremental Updating Algorithm for Association Rules[J].Science and Technology of West China,2010,9(13):28-29,49. |
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| Authors: | SUN Xin SONG Zhong-shan |
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| Institution: | (School of Computer Science,South-Central University for Nationalities,Wuhan,Hubei 430074) |
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| Abstract: | Data mining technology has caused great concern of experts and scholars in the areas of database and artificial intelligence.Association rules in data mining is an important area of research,this article analyzes the weak point of classical incremental update algorithm FUP,the paper presents an improved incremental update algorithm called EFUP,details algorithm ideas,and compares with the FUP algorithm to verify the superiority of the algorithm. |
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| Keywords: | Data mining Association rules Incremental update |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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